public static async Task <int> Main(string[] args)
{
var path = Environment.GetEnvironmentVariable("PATH");
Environment.SetEnvironmentVariable("PATH", @"C:\Program Files (x86)\IntelSWTools\openvino\deployment_tools\inference_engine\bin\intel64\Release;C:\Program Files (x86)\IntelSWTools\openvino\opencv\bin;" + path);
WindowsLibraryLoader.Instance.AdditionalPaths.Add(@"C:\Users\nick\Source\Repos\OpenVinoOpenCvSharp\install\bin");
if (args.Length != 4)
{
Console.WriteLine("Usage: PersonDetection <input format> <input camera> <model> <output>");
return(-1);
}
try
{
FFmpegHelper.Register();
var buildInfo = OpenCvSharp.Cv2.GetBuildInformation();
Console.WriteLine($"Build info: {buildInfo}");
var inputFormat = args[0];
var inputCamera = args[1];
var model = args[2];
var output = args[3];
var outputFolder = new DirectoryInfo(output);
if (!outputFolder.Exists)
{
outputFolder.Create();
}
var dataTransfer = new DataTransfer <MatAndBuffer>();
IDetector detector;
if (model.EndsWith("bin", StringComparison.OrdinalIgnoreCase))
{
detector = new InferenceEngineDetector(model);
}
else if (model.EndsWith("cfg", StringComparison.OrdinalIgnoreCase))
{
detector = new TinyYoloV3Detector(model);
}
else if (model.EndsWith("caffemodel", StringComparison.OrdinalIgnoreCase))
{
detector = new CaffeDnnFaceDetector(model);
}
else
{
throw new ArgumentException($"Unknown model type: {model}");
}
ProcessStream(inputFormat, inputCamera, dataTransfer);
var counter = 0;
while (true)
{
using var data = await dataTransfer.GetNext(default);
public static async Task <int> Main(string[] args)
{
if (args.Length < 4)
{
Console.WriteLine("usage: StandaloneFaceDetection <input format> <input camera> <model> <output>");
return(-1);
}
try
{
FFmpegHelper.Register();
var buildInfo = OpenCvSharp.Cv2.GetBuildInformation();
Console.WriteLine($"Build information: {buildInfo}");
var inputFormat = args[0];
var inputCamera = args[1];
var model = args[2];
var output = args[3];
var target = args.Length < 5 ? Net.Target.CPU : Enum.Parse <Net.Target>(args[4]);
var backend = args.Length < 6 ? Net.Backend.OPENCV : Enum.Parse <Net.Backend>(args[5]);
var outputFolder = new DirectoryInfo(output);
if (!outputFolder.Exists)
{
outputFolder.Create();
}
var dataTransfer = new DataTransfer <MatAndBuffer>();
IDetector detector;
if (model.EndsWith("bin", StringComparison.OrdinalIgnoreCase))
{
detector = new InferenceEngineDetector(model, backend, target);
}
else if (model.EndsWith("cfg", StringComparison.OrdinalIgnoreCase))
{
detector = new TinyYoloV3Detector(model);
}
else if (model.EndsWith("caffemodel", StringComparison.OrdinalIgnoreCase))
{
detector = new CaffeDnnFaceDetector(model);
}
else
{
throw new ArgumentException($"Unknown model type: {model}");
}
ProcessStream(inputFormat, inputCamera, dataTransfer);
var counter = 0;
while (true)
{
using var data = await dataTransfer.GetNext(default);
public static async Task <int> Main(string[] args)
{
WindowsLibraryLoader.Instance.AdditionalPaths.Add(@"C:\Users\nick\Source\Repos\OpenVinoOpenCvSharp\install\bin");
if (args.Length != 4)
{
Console.WriteLine("Usage: PersonDetection <input format> <input camera> <model> <output>");
return(-1);
}
try
{
FFmpegHelper.Register();
//AssemblyLoadConfiguration.For<OpenCvSharp.Point>();
var buildInfo = OpenCvSharp.Cv2.GetBuildInformation();
Console.WriteLine($"Build info: {buildInfo}");
var inputFormat = args[0];
var inputCamera = args[1];
var model = args[2];
var output = args[3];
var outputFolder = new DirectoryInfo(output);
if (!outputFolder.Exists)
{
outputFolder.Create();
}
var dataTransfer = new DataTransfer <MatAndBuffer>();
var detector = model.EndsWith(".pb", StringComparison.OrdinalIgnoreCase) ? (IDetector)(new TensorFlowDnnFaceDetector(model)) : (IDetector)(new CaffeDnnFaceDetector(model));
ProcessStream(inputFormat, inputCamera, dataTransfer);
var counter = 0;
while (true)
{
using var data = await dataTransfer.GetNext(default);